[tf.lite] Documentation fixes:
1. Add DOxygen \file directives to file-level comments. This is needed because without these, the file-level comments get (wrongly) attached to whatever follows, typically 'namespace tflite'. 2. Fix some cut-and-paste errors in the documentation. 3. Change top-level file comments for interpreter.h and optional_debug_tools.h to use DOxygen markup. 4. Fix a grammar error: "versions ... doesn't ..." => "versions ... don't". PiperOrigin-RevId: 321807896 Change-Id: I8ffd2cc393a235a270022479c605c70afbe4078d
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@ -12,8 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// Main abstraction controlling the tflite interpreter.
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// See context.h for the API for defining operations (TfLiteRegistration).
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/// \file
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/// Memory management for TF Lite.
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#ifndef TENSORFLOW_LITE_ALLOCATION_H_
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#define TENSORFLOW_LITE_ALLOCATION_H_
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@ -12,8 +12,9 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// Main abstraction controlling the tflite interpreter.
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// See context.h for the API for defining operations (TfLiteRegistration).
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/// \file
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/// Main abstraction controlling the tflite interpreter.
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/// See context.h for the API for defining operations (TfLiteRegistration).
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#ifndef TENSORFLOW_LITE_INTERPRETER_H_
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#define TENSORFLOW_LITE_INTERPRETER_H_
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@ -12,9 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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/// Deserialization infrastructure for tflite. Provides functionality
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/// to go from a serialized tflite model in flatbuffer format to an
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/// interpreter.
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/// \file
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/// Provides functionality to construct an interpreter for a model.
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///
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#ifndef TENSORFLOW_LITE_INTERPRETER_BUILDER_H_
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#define TENSORFLOW_LITE_INTERPRETER_BUILDER_H_
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@ -12,9 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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/// Deserialization infrastructure for tflite. Provides functionality
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/// to go from a serialized tflite model in flatbuffer format to an
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/// interpreter.
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/// \file
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/// Defines tflite::Interpreter and tflite::InterpreterBuilder.
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///
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#ifndef TENSORFLOW_LITE_MODEL_H_
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#define TENSORFLOW_LITE_MODEL_H_
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@ -12,9 +12,10 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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/// \file
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/// Deserialization infrastructure for tflite. Provides functionality
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/// to go from a serialized tflite model in flatbuffer format to an
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/// interpreter.
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/// in-memory representation of the model.
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///
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#ifndef TENSORFLOW_LITE_MODEL_BUILDER_H_
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#define TENSORFLOW_LITE_MODEL_BUILDER_H_
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@ -23,7 +23,7 @@ limitations under the License.
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namespace tflite {
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// Some versions of gcc doesn't support partial specialization in class scope,
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// Some versions of gcc don't support partial specialization in class scope,
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// so these are defined in a namescope.
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namespace op_resolver_hasher {
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template <typename V>
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@ -12,8 +12,9 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// Optional debugging functionality. For small sized binaries, these are not
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// needed.
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/// \file
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/// Optional debugging functionality.
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/// For small sized binaries, these are not needed.
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#ifndef TENSORFLOW_LITE_OPTIONAL_DEBUG_TOOLS_H_
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#define TENSORFLOW_LITE_OPTIONAL_DEBUG_TOOLS_H_
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